R. Laylor
Impact in
- Genetics top 0.5%
- Mesenchymal stem cell research
- Transplantation top 5%
Papers in
-
- Hematopoietic Stem Cell Transplantation 5
- Chronic Myeloid Leukemia Treatments 1
- Surgery 4
- Transplantation: Methods and Outcomes 4
- Co-authors
- Francesco Dazzi (5 shared papers)Elizabeth Simpson (3 shared papers)Diane Scott (1 shared paper)Mauro Krampera (1 shared paper)Sarah J. Glennie (1 shared paper)Julian Dyson (1 shared paper)John D. Smith (3 shared papers)Magdi H. Yacoub (3 shared papers)
- Journals
- Vox Sanguinis (1 paper)Clinical & Experimental Immunology (1 paper)Blood (1 paper)Journal of Immunological Methods (1 paper)Transplant Immunology (1 paper)
- Partner nations
- United KingdomSpain
In The Last Decade
R. Laylor
11 papers receiving 1.8k citations
R. Laylor's Hit Papers
Peers
Comparison fields: 5 of 79
- Genetics 1.2k
- Transplantation 102
- Hematology 287
- Immunology 347
- Developmental Neuroscience 55
Countries citing papers authored by R. Laylor
This map shows the geographic impact of R. Laylor's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by R. Laylor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. Laylor more than expected).
Fields of papers citing papers by R. Laylor
This network shows the impact of papers produced by R. Laylor. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by R. Laylor. The network helps show where R. Laylor may publish in the future.
Co-authors
The 25 scholars most cited alongside R. Laylor, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Bone marrow mesenchymal stem cells inhibit the response of naive and memory antigen-specific T cells to their cognate peptide Hit paper breakdown → | 2003 | 1368 |
| 2 | 1993 | 114 | |
| 3 | 2004 | 102 | |
| 4 | 2001 | 97 | |
| 5 | 1995 | 91 | |
| 6 | 1999 | 33 | |
| 7 | 2005 | 13 | |
| 8 | 2004 | 7 | |
| 9 | 2000 | 6 | |
| 10 | 1997 | 3 | |
| 11 | 2005 | 1 |
About R. Laylor
R. Laylor is a scholar working on Hematology, Surgery, Immunology, Genetics and Oncology, having authored 11 papers that have together received 1.8k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (5 papers), Transplantation: Methods and Outcomes (4 papers), Immunotherapy and Immune Responses (2 papers), T-cell and B-cell Immunology (2 papers), Renal Transplantation Outcomes and Treatments (2 papers), Immune Response and Inflammation (2 papers), Chronic Myeloid Leukemia Treatments (1 paper) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Genetics (1.2k citations), Transplantation (102 citations), Hematology (287 citations), Immunology (347 citations) and Developmental Neuroscience (55 citations). R. Laylor has collaborated with scholars based in United Kingdom and Spain. Frequent co-authors include Francesco Dazzi, Elizabeth Simpson, Diane Scott, Mauro Krampera, Sarah J. Glennie, Julian Dyson, John D. Smith, Magdi H. Yacoub, Marlene L. Rose and Anna J. Danskine. Their work appears in journals such as Vox Sanguinis, Clinical & Experimental Immunology, Blood, Journal of Immunological Methods and Transplant Immunology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.